At a Glance
- Tasks: Monitor Azure systems, detect issues, and provide insightful data analysis.
- Company: Join a global leader in security evidence management software with a mission to enhance safety.
- Benefits: Enjoy hybrid work options, professional development opportunities, and a supportive team culture.
- Why this job: Be part of a dynamic team that values innovation and makes a real-world impact.
- Qualifications: 3+ years in cloud monitoring or data analysis; strong Azure and scripting skills required.
- Other info: Work in a diverse environment where your ideas can thrive and grow.
The predicted salary is between 50000 - 70000 £ per year.
Job Type: Permanent
Salary: £60,000 - £70,000 DOE
Location: Kingston Upon Thames – Hybrid 1-2 days in the office
The Company
TDRC are excited to be working with a global leader in security evidence management software. Their systems play a crucial role in the private security sector as well as within healthcare, retail and within sport. They are supplying and supporting cameras and software to clients in 40+ countries and have offices in the UK, USA and Hong Kong with their international activities growing rapidly.
In this rapidly expanding market, they have sold equipment to the majority of Police Forces in the UK as well as many local authorities and private organisations. It's an exciting time to be joining this firm as they continue to lead the world in the development and application of their technology, with their influence spanning over 40 countries. Their mission to make a positive impact continues to gain momentum.
Purpose
To manage and monitor our Azure-based SaaS solution in order to ensure system reliability and a high standard of customer service at all times. To detect any issues in real-time and escalate to appropriate teams, in advance of the customer identifying an issue. To follow up and ensure identified issues are resolved. To use data to build historical trend analyses and provide reporting.
Your Responsibilities and Tasks
- Monitoring & Incident Detection
- Implement and manage Azure Monitor, Application Insights, and Log Analytics to track system performance.
- Set up automated alerts for App Service, SQL Database, and Blob Storage to detect anomalies.
- Create and maintain synthetic monitoring for proactive issue detection.
- Establish real-time dashboards to track system health.
- Escalate detected incidents immediately to appropriate teams.
- Follow-up to ensure incidents are resolved.
- Data Analysis & Reporting
- Build historical trend reports beyond Azure’s 90-day retention, storing logs for long-term analysis.
- Analyse logs and performance metrics to identify recurring issues.
- Provide insights into system downtime, performance trends, and customer impact.
- Generate weekly and monthly reports on system health and reliability.
- Provide recommendations and solutions to ensure consistent high level of service to customers.
- Automation & Continuous Improvement
- Develop scripts and queries (Kusto Query Language - KQL, PowerShell, Python) for log analysis.
- Implement automated remediation workflows where possible.
- Recommend improvements to architecture based on performance data.
- Collaboration & Documentation
- Work closely with engineering, DevOps, and customer support teams to resolve incidents as fast as possible.
- Document best practices for monitoring, alerting, and reporting.
- Assist in setting up a customer-facing status page to improve transparency.
Your Qualifications, Technical Skills and Experience
- Essential
- Previous experience of setting up automated alerts, managing dashboards, and generating reports to improve system reliability and customer experience.
- 3+ years’ experience in cloud monitoring, data analysis, or DevOps support.
- Strong knowledge of Microsoft Azure services (App Service, SQL Database, Blob Storage, Azure Monitor, Application Insights, Log Analytics).
- Proficiency in KQL (Kusto Query Language) for log analysis.
- Experience with automation scripting (PowerShell, Python, or Azure Functions).
- Desirable
- Familiarity with SIEM tools (Splunk, ELK, Azure Sentinel).
- Microsoft Certified: Azure Administrator Associate (AZ-104).
- Microsoft Certified: Azure Solutions Architect Expert (AZ-305).
- Microsoft Certified: Azure Security Engineer Associate (AZ-500).
Your Personal Skills and Attributes
- Strong analytical mindset and ability to translate data into actionable insights.
- Excellent problem-solving skills and ability to work independently.
- Proactive approach with a desire to own and continually improve processes.
Why apply
This isn’t just about taking on a job—it’s about being part of a family that champions change. This company combine their passion for innovation with a genuine desire to make the world safer. Here, every challenge becomes an exciting project, every solution a collective win. Surrounded by a diverse, forward-thinking team, you’ll experience a culture where ideas flourish, growth is nurtured, and every day is an opportunity to make a real difference. And with an array of benefits tailored to your wellbeing and development, they ensure that while you’re taking care of our mission, they will be taking care of you.
To apply for this role please contact us at: Mags Rendle 0203 640 2133 mags@digitalrecruitmentcompany.com www.digitalrecruitmentcompany.com
Contact Detail:
The Digital Recruitment Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Analyst
✨Tip Number 1
Familiarise yourself with Azure services, especially Azure Monitor and Application Insights. Understanding these tools will not only help you in interviews but also demonstrate your proactive approach to mastering the technologies used in the role.
✨Tip Number 2
Showcase your experience with Kusto Query Language (KQL) by preparing examples of how you've used it for log analysis. Being able to discuss specific instances where you've improved system reliability through data insights can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the cloud monitoring and data analysis fields. Engaging with others in the industry can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss your problem-solving skills and how you've handled incidents in previous roles. Be ready to share specific examples that highlight your analytical mindset and ability to work independently, as these are key attributes for this position.
We think you need these skills to ace Azure Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud monitoring, data analysis, and DevOps support. Emphasise your familiarity with Microsoft Azure services and any automation scripting you've done.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovation and how your skills align with the company's mission to improve safety. Mention specific experiences that demonstrate your analytical mindset and problem-solving abilities.
Showcase Technical Skills: Clearly outline your proficiency in Kusto Query Language (KQL) and any other relevant programming languages like PowerShell or Python. Provide examples of how you've used these skills in previous roles.
Highlight Collaboration Experience: Discuss any past experiences where you worked closely with engineering, DevOps, or customer support teams. This will show your ability to collaborate effectively and resolve incidents quickly.
How to prepare for a job interview at The Digital Recruitment Company
✨Showcase Your Azure Knowledge
Make sure to highlight your experience with Microsoft Azure services during the interview. Be prepared to discuss specific projects where you've implemented Azure Monitor, Application Insights, or Log Analytics, and how these tools improved system reliability.
✨Demonstrate Analytical Skills
Since the role requires a strong analytical mindset, come ready to share examples of how you've translated data into actionable insights. Discuss any historical trend reports you've built and how they impacted decision-making.
✨Prepare for Technical Questions
Expect technical questions related to Kusto Query Language (KQL) and automation scripting. Brush up on your skills in PowerShell and Python, and be ready to explain how you've used these languages for log analysis or automated workflows.
✨Emphasise Collaboration Experience
This position involves working closely with various teams. Share experiences where you've collaborated with engineering, DevOps, or customer support to resolve incidents quickly. Highlight your communication skills and ability to document best practices.